____                _       _   
  / ___| ___ _ __ ___ (_)_ __ (_)  
 | |  _ / _ \ '_ ` _ \| | '_ \| |  
 | |_| |  __/ | | | | | | | | | |  
  \____|\___|_| |_| |_|_|_| |_|_|  
      B A T C H   P R O C E S S O R

A powerful, high-concurrency web dashboard designed to batch process HTML, TXT, and Markdown files using Google's Gemini 3 Flash model. This tool allows for bulk analysis, summarization, or transformation of content with customizable system prompts and advanced tool integration.

• Batch Processing: Upload and process multiple files (HTML, TXT, MD) simultaneously.
• Gemini 3 Flash: Powered by the latest gemini-3-flash-preview model for high-speed, low-latency responses.
• Concurrency Control: Adjust parallel processing threads (1-5) to manage rate limits and speed.
• Customizable Prompts: Define specific system instructions for the model (e.g., "Extract SEO tags", "Summarize content").
• Advanced Tools:
  • Google Search Grounding: Augment responses with real-time web data.
  • Code Execution: Allow the model to write and execute Python code for complex logic.
• Temperature Control: Fine-tune the creativity vs. precision of the model.
• Export Options: Download individual results as HTML or the entire batch as a structured JSON file.
• Real-time Status: Visual indicators for Queued, Processing, Completed, and Failed states.

• Node.js (v18 or higher)
• A Google Cloud Project with the Gemini API enabled
• A valid API_KEY

1. Clone the repository:

   git clone https://github.com/michael-rapoport/gemini-batch-processor.git
   cd gemini-batch-processor

2. Install dependencies:

   npm install

3. Set up your environment variables. Create a .env file in the root directory:

   API_KEY=your_google_genai_api_key_here

4. Start the development server:

   npm start

1. Configuration:

   • Enter your System Prompt in the text area.
   • Adjust Temperature (0.0 for strict tasks, 1.0+ for creative tasks).
   • Set Concurrency based on your API tier limits (default is 2).
   • Select a Tool if necessary (Google Search or Code Execution). Note: Tools are mutually exclusive.

2. Upload:

   • Click the upload area or drag and drop files (HTML, TXT, MD).

3. Process:

   • Click Start Batch to begin. The app will manage the queue based on your concurrency settings.
   • You can Pause the operation at any time.

4. Results:

   • View results in the library on the right.
   • Click the Eye icon to preview the response.
   • Click the Download icon to save individual files (saved as .html containing the processed output).
   • Use Export JSON to save the entire session.

Architected and Designed by Michael Rapoport.

Built with:

• React 19
• Tailwind CSS
• Google GenAI SDK
• Lucide Icons